A Two-Stage Seismic Damage Assessment Method for Small, Dense, and Imbalanced Buildings in Remote Sensing Images

Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network

(2021) Miłosz Mężyk et al.   Remote Sensing

ML-EHSAPP: a prototype for machine learning-based earthquake hazard safety assessment of structures by using a smartphone app

(2021) Ehsan Harirchian et al.   European Journal of Environmental and Civil Engineering

A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings

(2021) Ehsan Harirchian et al.   Applied Sciences-Basel

Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network

(2020) Ehsan Harirchian et al.   Energies

BDD-Net: A General Protocol for Mapping Buildings Damaged by a Wide Range of Disasters Based on Satellite Imagery

(2020) Jinyuan Shao et al.   Remote Sensing

Real-Time Seismic Damage Prediction and Comparison of Various Ground Motion Intensity Measures Based on Machine Learning

(2020) Yongjia Xu et al.   JOURNAL OF EARTHQUAKE ENGINEERING

Multi-Hazard and Spatial Transferability of a CNN for Automated Building Damage Assessment

(2020) Tinka Valentijn et al.   Remote Sensing

Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets

(2020) Yanbing Bai et al.   Remote Sensing

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network

(2019) Yang Xu et al.   Structural Control & Health Monitoring

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

The State of the Art of Data Science and Engineering in Structural Health Monitoring

(2019) Yuequan Bao et al.   Engineering

Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia

(2019) Bruno Adriano et al.   Remote Sensing

Assessment of the Degree of Building Damage Caused by Disaster Using Convolutional Neural Networks in Combination with Ordinal Regression

(2019) Tianyu Ci et al.   Remote Sensing

Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network

(2019) Chen Xiong et al.   AUTOMATION IN CONSTRUCTION

Detection of Collapsed Buildings in Post-Earthquake Remote Sensing Images Based on the Improved YOLOv3

(2019) Haojie Ma et al.   Remote Sensing

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Multilevel Building Detection Framework in Remote Sensing Images Based on Convolutional Neural Networks

(2018) Yibo Liu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Multi-Resolution Feature Fusion for Image Classification of Building Damages with Convolutional Neural Networks

(2018) Diogo Duarte et al.   Remote Sensing

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Building Damage Assessment Using High-Resolution Satellite SAR Images of the 2010 Haiti Earthquake

(2016) Hiroyuki Miura et al.   EARTHQUAKE SPECTRA

Signature Analysis of Building Damage With TerraSAR-X New Staring SpotLight Mode Data

(2016) Fan Wu et al.   IEEE Geoscience and Remote Sensing Letters

Building Collapse Assessment in Urban Areas Using Texture Information From Postevent SAR Data

(2016) Weidong Sun et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep neural reasoning

(2016) Herbert Jaeger   NATURE

Global trends in satellite-based emergency mapping

(2016) Stefan Voigt et al.   SCIENCE

Building seismic response and visualization using 3D urban polygonal modeling

(2015) Chen Xiong et al.   AUTOMATION IN CONSTRUCTION

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

(2013) Laigen Dong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Use of post-storm images for automated tornado-borne debris path identification using texture-wavelet analysis

(2012) Sudha Radhika et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives

(2012) Fabio Dell'Acqua et al.   PROCEEDINGS OF THE IEEE

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Context-based mapping of damaged buildings from high-resolution optical satellite images

(2010) T. T. Vu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING